Anotation:
A multichannel fast adaptive recursive restoration method based on the underlying spatial probabilistic image model is presented. The method assumes linear degradation model with the unknown, possibly non-homogeneous point-spread function, and additive noise for each of mutually registered degraded observations. Pixels in the vicinity of image steep discontinuities are left unrestored to minimize restoration blurring effects. Our method is completely autonomous and does not assume any knowledge of the underlying degradation process. It is applied to a sequence of short-exposure solar photosphere images and it can be also easily and naturally generalized for multispectral (e.g. colour, multispectral satellite images) or registered images which is seldom the case for alternative methods.